Triple

T9540662
Position Surface form Disambiguated ID Type / Status
Subject Regen (district) E230146 entity
Predicate contains P35 FINISHED
Object Bischofsmais
Bischofsmais is a small Bavarian municipality in southeastern Germany known for its forested landscape and outdoor recreation in the Bavarian Forest region.
E805659 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bischofsmais | Statement: [Regen (district), contains, Bischofsmais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bischofsmais
Context triple: [Regen (district), contains, Bischofsmais]
  • A. Wimbachgries
    Wimbachgries is a broad high-alpine gravel valley and hiking area in the Bavarian Alps, known for its impressive scree fields and dramatic mountain scenery.
  • B. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • C. Grünheide
    Grünheide is a village in the Brandenburg municipality of Grünheide (Mark) in eastern Germany, known for its forested lakeside setting near Berlin.
  • D. Pretzsch
    Pretzsch is a small German town in Saxony-Anhalt, historically notable as the birthplace of influential 19th-century piano teacher Friedrich Wieck.
  • E. Mistelfeld
    Mistelfeld is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bischofsmais
Triple: [Regen (district), contains, Bischofsmais]
Generated description
Bischofsmais is a small Bavarian municipality in southeastern Germany known for its forested landscape and outdoor recreation in the Bavarian Forest region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bischofsmais
Target entity description: Bischofsmais is a small Bavarian municipality in southeastern Germany known for its forested landscape and outdoor recreation in the Bavarian Forest region.
  • A. Wimbachgries
    Wimbachgries is a broad high-alpine gravel valley and hiking area in the Bavarian Alps, known for its impressive scree fields and dramatic mountain scenery.
  • B. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • C. Grünheide
    Grünheide is a village in the Brandenburg municipality of Grünheide (Mark) in eastern Germany, known for its forested lakeside setting near Berlin.
  • D. Pretzsch
    Pretzsch is a small German town in Saxony-Anhalt, historically notable as the birthplace of influential 19th-century piano teacher Friedrich Wieck.
  • E. Mistelfeld
    Mistelfeld is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e695948190ab107fff38c57de7 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c6538b08190a9f81304214a876d completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14d44b7f08190b66fecb315b37535 completed April 4, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69d14e0823e881908ed723d20f14789b completed April 4, 2026, 5:44 p.m.
Created at: March 30, 2026, 8:01 p.m.